Regular fees: 300 - 950 GBP
International Fees : 300 - 950 GBP
About the Course
Course: Survival analysis with STATA
Instructor: Dr Vasileios Pappas
AIMS AND EXPECTED LEARNING OUTCOMES
The aim of the course is to familiarize the participant to the techniques of survival analysis with practical applications with a variety of datasets. Practical applications in Stata are offered that give participants hands-on experience to datasets and the econometric techniques covered in the course. By the end of the course students will be able to distinguish between survival analysis and ordinary regression designs, conduct survival analysis and interpret results, compare between survival analysis models and assumptions, and perform forecasting in survival analysis contexts.
Session 1: Introduction to survival analysis / Comparison to regression designs / Data organization
Session 2: Non-parametric survival analysis models
Session 3: Semi-parametric survival models / Cox Proportional Hazards model
Session 4: Parametric survival models
Session 5: Accelerated Failure Time (AFT) models / Discrete-time models
Session 6: Competing risks / Repeated events modeling
Session 7: Forecasting with survival analysis models
Session 8: Practical sessions: Data organization / Non-parametric models
Session 9: Practical sessions: Semi-parametric models
Session 10: Practical sessions: Parametric models
Session 11: Practical sessions: AFT models / Competing risks
Session 12: Practical sessions: Forecasting
The course is designed for participants (MSc/PhD students, researchers, academics, analysts) with some familiarity in banking, finance, and econometrics. No experience with survival analysis is necessary.
This in person and/or online course will deliver a series of lectures delivered by using slides presentation and other materials. A reading list of academic papers will be provided to the participants before the start of the course. A series of textbooks and chapters will be recommended for additional reading. Practical sessions require the use of Stata econometric software. A brief introduction to Stata for less familiar students may be arranged separately.